Composite IAQ score (0–100) from PM2.5, CO₂, TVOC, HCHO, CO, humidity, temp — per office, per minute.
Digital twin · Facility operationsA digital twin that breathes.
TwinMs is the first Saudi-built digital twin platform for built environments and operations in the MENA region. The same ISO 19650 BIM model that engineered the building — now wired to live operations.
Not a render. A navigable building.
Built in Unreal Engine on top of LiDAR scans and Gaussian splatting, TwinMs is a navigable replica of the real building — every floor, every space, every fixture — that talks back to live sensor data.
- Unreal Engine 3DWalk the floor plate. Click an asset. The dashboard follows you.
- LiDAR + splattingScanned reality, not artist renders — geometry that matches the as-built.
- Cross-screen eventsClick a chiller in the 3D view → KPIs, alerts, and CCTV jump to it.
Eight live data streams. One control room.
Every TwinMs reading is room-aware, floor-aware, and time-stamped. Filter the view to a sensor, a space, a floor, or the whole portfolio.
Live kWh per floor against a 730-day baseline. SAR cost and savings update on every tick.
Per-floor flow with leak detection. Yesterday vs baseline shown alongside cost variance.
Room-level fill rate against capacity. Drives HVAC and lighting decisions, not just dashboards.
Running / off / fault / maintenance — telemetered every 10 seconds, by unit.
Door state and access events tied back to occupancy and security workflows.
Per-circuit on/off state, ready for occupancy-driven and schedule-driven automation.
Bay-level availability. Surfaced to executives and on the way to tenant apps.
Built once. Applied many ways.
TwinMs is built once and applied many ways. Live in production for facilities — and demonstrated for the operations that move products and people. Same engine, same 3D twin, different domain.
The building tells you what changed — and what it means.
Scope-priority routing
Every reading is checked against a configurable rule set. Rules cascade by scope: sensor → space → floor → type → global, with per-rule cooldown windows so the same fault never spams twice.
- Operators >, <, ≥, ≤, == across all metrics
- Alert lifecycle: Created → Acknowledged → Resolved with timestamps
- Snapshot-store first — alerts surface in milliseconds, not minutes
Anomalies you can trust
Every floor and meter has a 730-day daily-mean baseline, recomputed with a 1-hour cache. So when energy jumps, the dashboard tells you how it compares to two years of the same building, same season.
- Yesterday vs baseline + SAR cost + savings
- Composite IAQ (0–100) with PM2.5 40 % · CO₂ 30 % weighting
- Two-year telemetry seeded — baselines are meaningful day one
Born from the model that engineered the building.
TwinMs is not built from scratch. It inherits the federated ISO 19650 BIM model the design and engineering team handed over at Stage 6 — the same model used for clash-free coordination, MEP routing, and quantity take-off. One model, two lives: it sells the project before construction, then runs the building long after handover.
See how the two solutions share one modelBuilt for the buildings you actually run.
Beyond live telemetry, TwinMs ships the operational stack enterprise teams expect — mobile field apps, predictive analytics, BMS / CMMS connectivity, and SSO for corporate IT.
Real IoT sensor network
MQTT broker, edge gateway, CT energy meters, water flow meters, AQ sensors, occupancy counters — all wired and reporting.
Mobile apps — FM + Technician
React Native field apps: live alerts, work-order checklists, QR/barcode asset scanning, photo capture, offline mode with sync.
Predictive maintenance
Anomaly detection on energy, water, and AQ patterns. Runtime-based wear scoring on HVAC, pumps, generators with auto-ticketing.
CMMS / BMS / SSO
Bidirectional CMMS work-order sync. BACnet / Modbus / ONVIF adapters. SAML 2.0 + MFA for enterprise IT.
Ready to see TwinMs in your building?
Request a demo